Method for investigating digital images for cancer based on parameters using samples in images

Computer Aided Diagnostics (CAD) for detecting cancer in digital images of parts of human body which are in use today, have an accuracy of less than 90%. This accuracy rate necessitates the need for a second test which causes trauma and additional costs to patients.

It is the object of the invention to use sample regions of digital images with known results and parameters values corresponding to those sample regions with the known results to determine ranges of parameters wherein those ranges of parameters are used for assisting the investigation in detection of cancer in a region of a digital image of a human body or a part of human body. Sample regions are also referred to as samples. A method which is implemented in a computer or in an embedded system is used to identify ranges of parameter values for each parameter using known results.

This paragraph illustrates an example of a method which is implemented in a computer or in an embedded system which is used to identify ranges of parameter values wherein these ranges of parameter values are used for detection of cancer:

• • (a) The parameter value space of each parameter is divided into a first set of ranges using sample regions where:
    • (i) all sample regions with a parameter value within each range in that first set of ranges have the same known result;
    • (ii) a minimum threshold number of sample regions have a parameter value within each range in that first set of ranges; and
    • (iii) each range in that first set of ranges is as big as possible.
  • (b) The ranges of values of the parameter space which is not part of the first set of ranges forms a second set of ranges.
  • (c) The second set of ranges are divided into additional ranges if the number of sample regions in that range exceeds a maximum threshold to obtain a third set of ranges.
  • (d) A method is then used to change each of the ranges in the third set of ranges for each result corresponding to sample regions as follows:
    • (i) a weightage is calculated for ranges wherein weightage for a result in a range is a function of or ratio between the number of samples with that result in that range and number of samples in that range;
    • (ii) the weightage of all adjacent ranges are compared wherein two ranges are adjacent if the last sample region of a first range is next to the first sample region of a second range in a sorted list of sample regions which are sorted based on parameter values; and
    • (iii) the adjacent range with the higher weightage is increased by decreasing the adjacent range with the lower weightage if the increased portion of that adjacent range with the higher weightage contains only sample regions with that known result and the increase in range does not cause the number of sample regions in the adjacent range with the lower weightage to fall below a threshold.
    
    
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